ISSN: 2167-0269
+44 1300 500008
Department of Production Engineering and Management, University of Macedonia, Thessaloniki 546 36, Greece
Research Article
Using the Type-2 Fuzzy Algorithm to Forecast the Success of a New Tourism Service
Author(s): Fotios Kitsios, Ioanna Atsalaki, George S. Atsalakis* and Constantin Zopounidis
This research introduces a novel approach for forecasting the success of new tourism services by employing a Type-2 Fuzzy algorithm optimized through the Particle Swarm Optimization (PSO) method. Interval Type-2 Fuzzy sets have been utilized to manage uncertainties more effectively. While existing studies have employed a range of techniques, including model-based approaches, to predict the success of a new service, this study integrates the Type-2 Fuzzy algorithm with other computational techniques to form a hybrid system. This integration enhances the predictive accuracy over that of individual methods. The data for this analysis was derived from a survey that examined the variables that were deemed critical to launching a new tourism service. A selection method was applied to cycle through all possible inputs in order to identify the two most significant ones. The final model was tr.. View More»
DOI:
10.35248/2167-0269.24.13.550